OUR MISSION

Calibrate is on a mission to change the way the world treats weight by redefining obesity care as a matter of biology, not willpower. Designed by world leaders in metabolic health, our program combines clinical research, personalized coaching, and lifestyle intervention to deliver lasting weight loss and improved metabolic outcomes. With obesity as America’s largest chronic condition, impacting 175mm adults in a $600B market, we’re closing the care gap by offering the first value-based model in obesity treatment. Since launching DTC in 2020, we’ve expanded into enterprise channels to improve access, and our app-based experience supports members with coaching, tailored education, daily tracking, and community engagement across the four pillars of metabolic health: food, sleep, exercise, and emotional wellbeing.

ABOUT THE ROLE

We are seeking an experienced Data Engineer to design, architect, and manage our company’s data infrastructure. This role is critical to integrating and organizing structured and unstructured data across member engagement, clinical, coaching, operational, and client data to enable outcomes analysis and insights, compliance, and business intelligence.

KEY RESPONSIBILITIES

Design and maintain scalable, secure data pipelines that ingest, transform, and load data from various sources including our in-house clinical and coaching EMR, our member app, client-supplied eligibility and engagement data, and third party vendors
Architect and manage a unified data warehouse/lake to support business intelligence, analytics, and reporting.
Implement data governance best practices including data quality, lineage, access control, and auditing.
Partner with Data Science, Product, Clinical, and Operations teams to ensure data infrastructure meets analytical and operational needs.
Develop and maintain APIs, batch jobs, and real-time data integrations as needed
Optimize data infrastructure for performance, scalability, and cost-efficiency.
Ensure compliance with healthcare data privacy standards (e.g., HIPAA) and security protocols.
Maintain and build out the infrastructure in AWS and GCP that powers our ingestion platform
Stay abreast of best practices in data engineering and propose any necessary changes, including the ability to make a strong business case for what’s needed

BACKGROUND & EXPERIENCE

Strong understanding of data architecture, schema design, and data modeling
5+ years of Data engineering experience shipping production level code. Should be able to hit the ground running and be comfortable deploying a change in the first week.
Experience with DBT, in particular using DBT to build re-usable, testable, and maintainable data models and in maintaining a DBT instance
Experience with data warehouses, like Big Query, Redshift, or Snowflake (we use BigQuery)
Comfortable writing clear, testable Python code for automation, scripting, and data manipulation
Experience with Airflow, Prefect, or other task execution platforms a must
Experience with Kubernetes a plus, at the very least will need a willingness to learn (we’re using it now)
Experience with setting up and maintaining AWS infrastructure and Infrastructure as Code (IaC) tools a plus (we use Pulumi)
Knowledge of data privacy and security practices (e.g., HIPAA, SOC 2).
Self-starter with strong problem-solving skills and ability to collaborate across functions and work with data teams in functional areas

The salary range for this role is $160,000-$185,000.

BENEFITS

At Calibrate, we’re committed to putting our team members in control of their health. In 2025, we are proudly offering the following benefits:

Attractive salaries with opportunities for equity in our early-stage, high-growth company.
Enjoy a generous paid time off policy, including multiple paid company holidays, wellness days, and floating holidays to support your work-life blend.
Medical, dental, and vision benefit options to keep you and your family healthy.
Calibrate-funded disability and basic life insurance, ensuring peace of mind during unforeseen events.
Access to several wellness programs, including a complimentary Peloton membership, Headspace membership, and therapy on your schedule with Headspace Care.
Employee Assistance Program through Prudential to receive counseling on a wide range of topics.
Remote-first ways of working, with the flexibility to work from any state.
Competitive paid parental leave program to support new parents.

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Senior Data Engineer

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